Gen Ai Engineer

Your New Company Kirey is one of the leading European groups specializing in technology consulting and system integration, with a distinctive positioning in data-driven innovation. Through a comprehensive portfolio of solutions—including Data & AI, Cloud, Software Development, Cybersecurity, Infrastructure & Automation, and Monitoring—Kirey transforms data complexity into intuitive and accessible solutions, enabling its clients to achieve their business objectives. Headquartered in Italy, with a solid international presence and nearly 1,500 employees, Kirey has delivered more than 10,000 projects for leading clients across industries such as Insurance, Banking, Manufacturing, Retail, Public Administration, and Services & Energy. At the core of all this are people, who at Kirey are empowered to fully express their talent and actively contribute to the company’s value chain. This is made possible through continuous investment in improvement processes and training, the promotion of innovative ideas and creativity through skills development, and a strong commitment—expressed through dedicated initiatives—to inclusion and diversity.

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YOUR ROLE

We are looking for a GEN AI Engineer role

• Design, develop, and industrialize GenAI applications, from prototyping to production deployment
• Develop agentic workflows and LLM-based solutions, including RAG, function calling, and service orchestration
• Design, train, and fine-tune machine learning models to complement GenAI solutions where traditional ML approaches are more suitable
• Select and evaluate the most appropriate approach (traditional ML, fine-tuned models, or LLM-based solutions) based on use case requirements and constraints
• Deploy and operate GenAI and ML solutions on cloud infrastructure (preferred AWS ), leveraging Databricks (nice to have) for data and AI pipelines where relevant
• Use AI-assisted development tools (GitHub Copilot, Claude, and similar solutions) to accelerate coding, testing, refactoring, and code review
• Implement MLOps/LLMOps practices, including model versioning, automated retraining, and performance monitoring in production
• Collaborate with cross-functional teams (Product, Cloud, Data, Security, and Business) to bring innovative solutions into production
• Define standards, frameworks, and best practices for adopting Generative AI in enterprise contexts

Requirements

• 1 to 5 years of hands-on experience in the role
• Familiarity with the principles of developing LLM-based applications, prompt engineering, RAG, and API integration
• Experience at least one GenAI framework such as LangGraph, LangChain, LlamaIndex, or Semantic Kernel
• Strong proficiency in one or more modern programming languages (Python, TypeScript, ..)
• Experience using Generative AI tools to support application development
• Basic understanding of machine learning concepts and model development lifecycle (training, evaluation, deployment)
• Knowledge of design patterns, development principles, and modern application architecture
• Knowledge of key Software Delivery practices (CI/CD, code review, testing, and quality engineering)
• Working knowledge of AWS cloud services (e.g. SageMaker, Bedrock, S3, Lambda, EC2)
• Experience building agentic solutions using frameworks such as Strands Agents, with familiarity with agent interoperability protocols : MCP, A2A. (Mosaic AI Agent Framework nice to have)
• Ability to translate business and process requirements into concrete technological solutions
• Fluent English

Nice to have

• Experience developing agentic systems and multi-agent workflows
• Knowledge of Azure OpenAI, OpenAI API, or other enterprise AI platforms
• Knowledge of Databricks for data engineering, ML pipelines, and GenAI workloads
• Familiarity with vector databases and semantic search solutions
• Experience with DevOps, Docker, Kubernetes, and cloud-native architecture
• Knowledge of LLMOps, observability, evaluation frameworks, and AI application governance
• Experience in industry-specific contexts such as manufacturing, engineering, pharma, airports/transportation, fashion, or gaming/betting
• Professional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture paths
• Professional certifications in AWS, Azure, or Databricks, particularly in AI, Generative AI, Data Engineering, or Solutions Architecture path

WHO WE ARE LOOKING FOR

The ideal candidate has 1-5 years five years of experience in design, build, and industrialize Generative AI and agentic solutions — from prototyping to production — using modern LLM, RAG, and cloud-native technologies.

WHAT WE OFFER

The proposed salary includes a gross annual salary (RAL) ranging between €30,000 and €40,000 , depending on skills and experience.

ADDITIONAL BENEFITS

• Challenging and innovative projects
• Dynamic and merit-based environment
• Agile team collaboration
• Professional growth plan
• Training courses and certifications
• Welfare & Benefits system
• Smart working or full remote options (genuinely available) with flexible hours

JOIN US

Location: Roma or Florence (Hybrid) We adopt a hybrid working strategy designed to leverage the opportunities offered by remote work for both employees and the company. Our approach reflects the belief that an employee’s impact, contribution, and results matter more than their physical location. Kirey promotes diversity in the workplace. All applications for open positions are welcome and will be assessed based on merit.

DATA PROTECTION NOTICE

Your personal data will be processed for recruitment purposes (execution of pre-contractual measures) by Kirey S.r.l., headquartered at Viale Francesco Restelli 5, 20124 Milan, Italy, represented by its legal representative, and/or by other companies under its control. These entities may be contacted at . You may exercise your rights under Articles 15–22 of the GDPR, including lodging a complaint with the Data Protection Authority. xysqume Data will be retained for a maximum of 24 months (unless interrupted or suspended) and will not be disclosed. The full privacy notice is available here: or upon request at

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